Abstract
Significant information about agricultural fields has been obtained through microwave remote sensing, and these techniques are increasingly being used to manage land and water resources for agricultural applications. Furthermore, synthetic aperture radar (SAR) systems are not dependent on atmospheric influences or weather conditions unlike passive systems and they are especially suitable for a multi-temporal classification approaches. In this study, the six TerraSAR-X images were analyzed in order to identify the rice fields of two different cropping systems and wheat fields. Applying the model-based clustering, achieving overall accuracies of 90.0% for the fields planting whose conditions were checked.
